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CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05708v1 Announce Type: new Abstract: Aggregating heterogeneous vision-language models (VLMs) can improve multimodal reasoning, but neither an individual model's confidence nor that of the aggregated answer measures reliability at the system level. We present CUSP (Collective Uncertainty…

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  1. 2026-09-09 04:00 · arXiv cs.AI
    CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning

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